🚀 Launching Synthetic Text to Unlock High-Value Proprietary Text Data

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Tobias Hann

Chief Executive Officer

Dr. Tobias Hann joined MOSTLY AI in 2019 and became CEO in 2020. He is a technology enthusiast with a deep technical understanding of software, data and machine learning, and has a passion for customer centricity and innovative product development. Tobias holds a PhD from the Vienna University of Economics and Business, and an MBA from the Haas School of Business, UC Berkeley, and is currently based in New York. Prior to joining MOSTLY AI, he worked as a management consultant with the Boston Consulting Group and as Co-Founder/MD of three start-ups. Tobias’ leadership and consulting experience spans 15 years in the US, Europe, and the Middle East, across diverse industries including enterprise software, insurance, transportation, education, and telecommunication. Whether it’s winter skiing or summer hiking, Tobias loves to travel, often heading for the nearest mountainous area for a healthy escape.

Blogposts written by Tobias

October 1, 2024

Introducing Synthetic Text to Overcome AI Training Plateau and Unlock High-Value Proprietary Text Data

TL;DR The MOSTLY AI Platform now supports the creation of synthetic text leveraging pretrained language models. You can choose from various LLMs on Hugging Face and conveniently fine-tune them with your proprietary text data. Directly on the MOSTLY AI Platform and in the context of structured data. Realizing privacy-preserving GenAI use cases has never been […]

The Gold Standard for Data Governance: Databricks Unity Catalog & MOSTLY AI’s Synthetic Data

TL;DR Databricks Unity Catalog provides a unified data governance framework for data assets, offering granular access controls and traditional data masking capabilities. MOSTLY AI’s Synthetic Data complements this by generating fully anonymous, synthetic datasets via Generative AI, thus offering a solution to the limitations of traditional data anonymization methods. Databricks Unity Catalog Databricks Unity Catalog […]

Why removing Identical Matches in Synthetic Data risks Privacy: The Swiss Cheese Problem

TL;DR: Removing identical matches (as found in the original data) in a synthetic dataset does not protect, it actually leaks privacy. Synthetic Data While this blog post will cover a more advanced topic of synthetic data, let me briefly explain what synthetic data is, in case you’re new to it. Synthetic data - as we […]

February 29, 2024

Introducing the MOSTLY AI Synthetic Data Platform v200

We’re incredibly proud to share the highlights of our latest Synthetic Data Platform release - v200 - in this blog post! Over the past couple of months the team has been working extremely hard to incorporate a ton of feedback from our Enterprise Clients and FREE Version users. We’ve also made a significant effort in […]

What is data privacy?

Let's talk about the definition of data privacy and the practical approaches to ensuring data privacy in organizations.

potential of synthetic data beyond privacy

Beyond privacy - the vast potential of synthetic data

The potential of synthetic data goes beyond privacy enhancement. Extremely valuable use cases, such as data augmentation, rebalancing, domain adaptation, data simulation, bias correction and fairness are all on the table.

Data scrubbing: The mystery of "scrubbing” Personal Identifiable Information (PII)

What is data scrubbing? In the era of big data and data-driven decision-making, protecting the privacy of individuals remains a top priority for businesses and organizations. Data anonymization is a widely used method to achieve this by aiming to remove personal identifiable information (PII) from datasets. One term that is frequently used is "data scrubbing", […]

August 19, 2022

synthetic data generator benchmarking study

SDV vs MOSTLY AI: Which synthetic data generator is better?

Comparing the most popular open source synthetic data generators with MOSTLY AI's Synthetic Data Platform for informed decisions.

January 4, 2022

Four major trends in synthetic data and AI in 2022

Synthetic data and machine learning trends in 2022

Synthetic data is quickly becoming a critical tool for organizations to unlock the value of sensitive customer data while keeping the privacy of their customers protected and in compliance with data protection regulations such as GDPR and CCPA. It can be generated quickly in abundance and has been proven to drastically improve machine learning performance. […]

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